安全与环境工程

[1] PARKER D, REASON J T, MANSTEAD A S R, et al.Driving errors, driving violations and accident involvement[J].Ergonomics, 1995, 38(5):1036-1048.

[2]马迎杰.基于深度学习的驾驶行为识别算法研究[D].泉州：华侨大学，2020.MA Y J. Research on Driving Behavior Recognition Algorithm Based on Deep Learning[D]. Quanzhou:Huaqiao University,2020.

[3]李翔，张涛，张哲，等. Transformer在计算机视觉领域的研究综述[J].计算机工程与应用，2023, 59(1):1-14.LI X, ZHANG T, ZHANG Z, et al. Survey of Transformer research in computer vision[J]. Computer Engineering and Applications, 2023, 59(1):1-14.

[4] BOGUCKI R, CYGAN M, KHAN C B, et al. Applying deep learning to right whale photo identification[J]. Conservation Biology, 2019, 33(3):676-684.

[5]江春雨，程琳，黎晓明亮.生成对抗网络在计算机视觉领域的应用[J].计算机科学与应用，2018, 8(11):1726-1733.JIANG C Y,CHENG L, LI X M L. The applications of generative adversarial networks in the field of computer vision[J]. Computer Science and Application, 2018, 8(11):1726-1733.

[6]代少升，黄向康，黄涛，等.一种基于深度学习的驾驶员打电话行为检测方法[J].电讯技术，2021, 61(7):785-792.DAI S S, HUANG X K, HUANG T, et al. A driver’s calling behavior detection method based on deep learning[J].Telecommunication Engineering, 2021, 61(7):785-792.

[7]王彬，李小曼，赵作鹏.基于改进Faster RCNN的驾驶员手持通话检测[J].江苏大学学报（自然科学版），2023, 44(3):318-323.WANG B, LI X M, ZHAO Z P. Hand-held call detection of driver based on improved Faster RCNN[J]. Journal of Jiangsu University(Natural Science Edition), 2023, 44(3):318-323.

[8] ZHAO Z, ZHAO H, YE C, et al. FPN-D-based driver smoking behavior detection method[J]. IETE Journal of Research, 2023, 69(8):5497-5506.

[9]李敏，王武宏，蒋晓蓓，等.城市典型路段的驾驶员酒驾行为识别[J].北京理工大学学报，2016,36（增刊2）:185-188.LI M,WANG W H,JIANG X B, et al. Recognition of drunk driving behavior in typical urban road sections[J]. Journal of Beijing Institute of Technology,2016,36(S2):185-188.

[10]白中浩，王韫宇，张林伟.基于图卷积网络的多信息融合驾驶员分心行为检测[J].汽车工程，2020, 42(8):1027-1033.BAI Z H, WANG Y Y, ZHANG L W. Driver distraction behavior detection with multi-information fusion based on graph convolution networks[J]. Automotive Engineering, 2020, 42(8):1027-1033.

[11]MOSLEMI N, AZMI R, SORYANI M. Driver distraction recognition using 3D convolutional neural networks[C]//20194th International Conference on Pattern Recognition and Image Analysis(IPRIA). Piscataway, NJ:IEEE. 2019:145-151.

[12]陈军，张黎，周博，等.基于级联卷积神经网络的驾驶员分心驾驶行为检测[J].科学技术与工程，2020, 20(14):5702-5708.CHEN J, ZHANG L, ZHOU B, et al. Driver distracted driving behavior detection based on cascaded convolutional neural network[J]. Science Technology and Engineering,2020, 20(14):5702-5708.

[13]戎辉，华一丁，张小俊，等.基于迁移学习和AlexNet的驾驶员行为状态识别方法[J].科学技术与工程，2019, 19(28):208-216.RONG H, HUA Y D, ZHANG X J, et al. Driver behavior recognition method based on migration learning and AlexNet[J]. Science Technology and Engineering, 2019, 19(28):208-216.

[14]HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Las Vegas:IEEE,2016:770-778.

[15]SANDLER M, HOWARD A, ZHU M, et al. MobileNetV2:Inverted residuals and linear bottlenecks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City:IEEE, 2018:4510-4520.

[16]HOWARD A G, ZHU M, CHEN B, et al. MobileNets:Efficient Convolutional Neural Networks for Mobile Vision Applications[EB/OL].(2017-04-17)[2023-06-25]. https：//arxiv. org/abs/1704. 04861.

[17]MONTOYA A, HOLMAN D, SF_DATA_SCIENCE, et al.State Farm Distracted Driver Detection[EB/OL].(2020-11-02)[2021-12-17]. https：//www. kaggle. com/c/state-farmdistracted-driver-detection.

[18]周晓华，武文博.基于改进DenseNet的驾驶行为识别[J].计算机仿真，2023,40(2):197-202.ZHOU X H, WU W B. Driving behavior recognition based on improved DenseNet[J]. Computer Simulation,2023,40(2):197-202.